38 plotly

Uncomment the following line to install leafmap if needed.

In [1]:

# !pip install leafmap

# !pip install leafmap

In [2]:

import leafmap.plotlymap as leafmap

import leafmap.plotlymap as leafmap

If you run into an error saying "FigureWidget - 'mapbox._derived' Value Error" (source), uncomment the following line and run it.

In [3]:

# leafmap.fix_widget_error()

# leafmap.fix_widget_error()

Create an interactive map using default settings.

In [4]:

m = leafmap.Map()
m

m = leafmap.Map() m

Out[4]:

Change default setting when creating a map.

Can be one of string from "open-street-map", "carto-positron", "carto-darkmatter", "stamen-terrain", "stamen-toner" or "stamen-watercolor" .

In [5]:

m = leafmap.Map(center=(40, -100), zoom=3, basemap="stamen-terrain", height=500)
m

m = leafmap.Map(center=(40, -100), zoom=3, basemap="stamen-terrain", height=500) m

Out[5]:

Set map center and zoom level.

In [6]:

m = leafmap.Map(basemap="stamen-watercolor")
m.set_center(lat=20, lon=0, zoom=2)
m

m = leafmap.Map(basemap="stamen-watercolor") m.set_center(lat=20, lon=0, zoom=2) m

Out[6]:

Print out available basemaps.

In [7]:

# leafmap.basemaps.keys()

# leafmap.basemaps.keys()

Add a basemap.

In [8]:

m = leafmap.Map()
m.add_basemap("OpenTopoMap")
m

m = leafmap.Map() m.add_basemap("OpenTopoMap") m

Out[8]:

Add XYZ tile layer.

In [9]:

m = leafmap.Map()
tile_url = "https://mt1.google.com/vt/lyrs=y&x={x}&y={y}&z={z}"
m.add_tile_layer(tile_url, name="Google Satellite", attribution="Google", opacity=1.0)
m

m = leafmap.Map() tile_url = "https://mt1.google.com/vt/lyrs=y&x={x}&y={y}&z={z}" m.add_tile_layer(tile_url, name="Google Satellite", attribution="Google", opacity=1.0) m

Out[9]:

Add a mapbox tile layer. You will need a mapbox token. The map style can be Can be "basic", "streets", "outdoors", "light", "dark", "satellite", or "satellite-streets".

In [10]:

import os

import os

In [11]:

# os.environ["MAPBOX_TOKEN"] = "your-mapbox-token"

# os.environ["MAPBOX_TOKEN"] = "your-mapbox-token"

In [12]:

m = leafmap.Map()
m.add_mapbox_layer(style="streets")
m

m = leafmap.Map() m.add_mapbox_layer(style="streets") m

Out[12]:

Remove the modebar in the upper-right corner.

In [13]:

m = leafmap.Map(basemap="stamen-toner")
m

m = leafmap.Map(basemap="stamen-toner") m

Out[13]:

In [14]:

m.clear_controls()

m.clear_controls()

Add more buttons to the modebar.

In [15]:

m = leafmap.Map(basemap="carto-positron")
controls = [
    'drawline',
    'drawopenpath',
    'drawclosedpath',
    'drawcircle',
    'drawrect',
    'eraseshape',
]
m.add_controls(controls)
m

m = leafmap.Map(basemap="carto-positron") controls = [ 'drawline', 'drawopenpath', 'drawclosedpath', 'drawcircle', 'drawrect', 'eraseshape', ] m.add_controls(controls) m

Out[15]:

Add Cloud Optimized GeoTIFF.

In [16]:

m = leafmap.Map()
url = 'https://opendata.digitalglobe.com/events/california-fire-2020/pre-event/2018-02-16/pine-gulch-fire20/1030010076004E00.tif'
m.add_cog_layer(url, name="Fire (pre-event)")
m

m = leafmap.Map() url = 'https://opendata.digitalglobe.com/events/california-fire-2020/pre-event/2018-02-16/pine-gulch-fire20/1030010076004E00.tif' m.add_cog_layer(url, name="Fire (pre-event)") m

Out[16]:

Add a STAC item via HTTP URL.

In [17]:

m = leafmap.Map()
url = 'https://canada-spot-ortho.s3.amazonaws.com/canada_spot_orthoimages/canada_spot5_orthoimages/S5_2007/S5_11055_6057_20070622/S5_11055_6057_20070622.json'
m.add_stac_layer(url, bands=['B3', 'B2', 'B1'], name='False color')
m

m = leafmap.Map() url = 'https://canada-spot-ortho.s3.amazonaws.com/canada_spot_orthoimages/canada_spot5_orthoimages/S5_2007/S5_11055_6057_20070622/S5_11055_6057_20070622.json' m.add_stac_layer(url, bands=['B3', 'B2', 'B1'], name='False color') m

Out[17]:

Add a STAC item from Microsoft Planetary Computer.

In [18]:

collection = "landsat-8-c2-l2"
item = "LC08_L2SP_047027_20201204_02_T1"

collection = "landsat-8-c2-l2" item = "LC08_L2SP_047027_20201204_02_T1"

In [19]:

m = leafmap.Map()
m.add_stac_layer(
    collection=collection,
    item=item,
    bands=["SR_B7", "SR_B5", "SR_B4"],
    titiler_endpoint="pc",
)
m

m = leafmap.Map() m.add_stac_layer( collection=collection, item=item, bands=["SR_B7", "SR_B5", "SR_B4"], titiler_endpoint="pc", ) m

Out[19]:

Add a heat map.

In [20]:

url = 'https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv'

url = 'https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv'

In [21]:

m = leafmap.Map(basemap="stamen-terrain")
m.add_heatmap(
    url, latitude="Latitude", longitude="Longitude", z="Magnitude", name="Earthquake"
)
m

m = leafmap.Map(basemap="stamen-terrain") m.add_heatmap( url, latitude="Latitude", longitude="Longitude", z="Magnitude", name="Earthquake" ) m

Out[21]:

Add a choropleth map.

In [22]:

url = "https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/countries.geojson"

url = "https://raw.githubusercontent.com/giswqs/leafmap/master/examples/data/countries.geojson"

In [23]:

m = leafmap.Map(basemap="stamen-terrain")
m.add_choropleth_map(url, name="Pop", z="POP_EST", colorscale="Viridis")
m

m = leafmap.Map(basemap="stamen-terrain") m.add_choropleth_map(url, name="Pop", z="POP_EST", colorscale="Viridis") m

Out[23]:

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Last update: 2023-03-17
Created: 2021-05-26